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Brian Kingsbury
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2020 – today
- 2024
- [c129]A F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen:
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. ICASSP 2024: 10931-10935 - [c128]Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury:
Semi-Autoregressive Streaming ASR with Label Context. ICASSP 2024: 11681-11685 - [i50]A F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen:
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. CoRR abs/2401.06980 (2024) - [i49]Ankit Gupta, George Saon, Brian Kingsbury:
Exploring the limits of decoder-only models trained on public speech recognition corpora. CoRR abs/2402.00235 (2024) - 2023
- [c127]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP 2023: 1-5 - [c126]Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, Eric Fosler-Lussier:
Fine-Grained Textual Knowledge Transfer to Improve RNN Transducers for Speech Recognition and Understanding. ICASSP 2023: 1-5 - [c125]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Brian Kingsbury:
Multi-Speaker Data Augmentation for Improved end-to-end Automatic Speech Recognition. ICASSP 2023: 1-5 - [c124]Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury:
ConvKT: Conversation-Level Knowledge Transfer for Context Aware End-to-End Spoken Language Understanding. INTERSPEECH 2023: 1129-1133 - [c123]Xiaodong Cui, George Saon, Brian Kingsbury:
Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition. INTERSPEECH 2023: 1299-1303 - [c122]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH 2023: 2268-2272 - [c121]Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu:
High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. ISIT 2023: 2613-2618 - [i48]Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu:
High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. CoRR abs/2305.04712 (2023) - [i47]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR abs/2305.12606 (2023) - [i46]Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury:
Semi-Autoregressive Streaming ASR With Label Context. CoRR abs/2309.10926 (2023) - [i45]Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury:
Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR abs/2311.12727 (2023) - 2022
- [c120]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR 2022: 19988-19997 - [c119]Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh:
Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP 2022: 5543-5547 - [c118]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon:
Improving End-to-end Models for Set Prediction in Spoken Language Understanding. ICASSP 2022: 7162-7166 - [c117]Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier:
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. ICASSP 2022: 7497-7501 - [c116]Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury:
A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets. ICASSP 2022: 7632-7636 - [c115]Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems. ICASSP 2022: 7932-7936 - [c114]Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo:
Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models. ICASSP 2022: 8127-8131 - [c113]Jiatong Shi, George Saon, David Haws, Shinji Watanabe
, Brian Kingsbury:
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. INTERSPEECH 2022: 1656-1660 - [c112]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan:
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. INTERSPEECH 2022: 2038-2042 - [c111]Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata:
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. INTERSPEECH 2022: 2638-2642 - [c110]Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Kuo, Brian Kingsbury:
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. INTERSPEECH 2022: 2683-2687 - [c109]Takashi Fukuda, Samuel Thomas, Masayuki Suzuki, Gakuto Kurata, George Saon, Brian Kingsbury:
Global RNN Transducer Models For Multi-dialect Speech Recognition. INTERSPEECH 2022: 3138-3142 - [c108]Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong:
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS 2022 - [i44]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon:
Improving End-to-End Models for Set Prediction in Spoken Language Understanding. CoRR abs/2201.12105 (2022) - [i43]Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury:
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets. CoRR abs/2202.10137 (2022) - [i42]Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo:
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models. CoRR abs/2202.13155 (2022) - [i41]Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems. CoRR abs/2203.00006 (2022) - [i40]Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata:
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. CoRR abs/2203.15176 (2022) - [i39]Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier:
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. CoRR abs/2204.05169 (2022) - [i38]Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury:
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. CoRR abs/2204.05188 (2022) - [i37]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan:
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. CoRR abs/2206.07882 (2022) - [i36]Jiatong Shi, George Saon, David Haws, Shinji Watanabe
, Brian Kingsbury:
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. CoRR abs/2208.01818 (2022) - [i35]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR abs/2210.03625 (2022) - 2021
- [j16]Xiaodong Cui
, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury
, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3565-3576 (2021) - [c107]George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury:
Advancing RNN Transducer Technology for Speech Recognition. ICASSP 2021: 5654-5658 - [c106]Xiaodong Cui, Songtao Lu, Brian Kingsbury:
Federated Acoustic Modeling for Automatic Speech Recognition. ICASSP 2021: 6748-6752 - [c105]Edmilson da Silva Morais, Hong-Kwang Jeff Kuo, Samuel Thomas, Zoltán Tüske, Brian Kingsbury:
End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features. ICASSP 2021: 7483-7487 - [c104]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory:
RNN Transducer Models for Spoken Language Understanding. ICASSP 2021: 7493-7497 - [c103]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne
, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c102]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. Interspeech 2021: 1254-1258 - [c101]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne
, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c100]Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske:
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. Interspeech 2021: 1802-1806 - [c99]Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske:
Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. Interspeech 2021: 2027-2031 - [c98]Zoltán Tüske, George Saon, Brian Kingsbury:
On the Limit of English Conversational Speech Recognition. Interspeech 2021: 2062-2066 - [c97]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun
, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan:
4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech 2021: 2586-2590 - [c96]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne
, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [i34]Xiaodong Cui, Songtao Lu, Brian Kingsbury:
Federated Acoustic Modeling For Automatic Speech Recognition. CoRR abs/2102.04429 (2021) - [i33]George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury:
Advancing RNN Transducer Technology for Speech Recognition. CoRR abs/2103.09935 (2021) - [i32]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory:
RNN Transducer Models For Spoken Language Understanding. CoRR abs/2104.03842 (2021) - [i31]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i30]Zoltán Tüske, George Saon, Brian Kingsbury:
On the limit of English conversational speech recognition. CoRR abs/2105.00982 (2021) - [i29]Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury:
Representation based meta-learning for few-shot spoken intent recognition. CoRR abs/2106.15238 (2021) - [i28]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. CoRR abs/2108.08405 (2021) - [i27]Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske:
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. CoRR abs/2108.10803 (2021) - [i26]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan:
4-bit Quantization of LSTM-based Speech Recognition Models. CoRR abs/2108.12074 (2021) - [i25]Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR abs/2110.11199 (2021) - [i24]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - [i23]Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu:
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR abs/2112.01433 (2021) - [i22]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR abs/2112.04446 (2021) - 2020
- [c95]Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 2020: 3022-3026 - [c94]Guojing Cong, Brian Kingsbury, Chih-Chieh Yang, Tianyi Liu:
Fast Training of Deep Neural Networks for Speech Recognition. ICASSP 2020: 6884-6888 - [c93]Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny:
Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems. ICASSP 2020: 7984-7988 - [c92]Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury:
Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard. INTERSPEECH 2020: 551-555 - [c91]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis A. Lastras:
End-to-End Spoken Language Understanding Without Full Transcripts. INTERSPEECH 2020: 906-910 - [c90]Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury:
Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition. INTERSPEECH 2020: 4283-4287 - [c89]Samuel Thomas, Kartik Audhkhasi, Brian Kingsbury:
Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings. INTERSPEECH 2020: 4736-4740 - [i21]Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury:
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. CoRR abs/2001.07263 (2020) - [i20]Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR abs/2002.01119 (2020) - [i19]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR abs/2006.09199 (2020) - [i18]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis A. Lastras:
End-to-End Spoken Language Understanding Without Full Transcripts. CoRR abs/2009.14386 (2020) - [i17]Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny:
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems. CoRR abs/2010.04284 (2020) - [i16]Edmilson da Silva Morais, Hong-Kwang Jeff Kuo, Samuel Thomas, Zoltán Tüske, Brian Kingsbury:
End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features. CoRR abs/2011.08238 (2020)
2010 – 2019
- 2019
- [j15]Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha:
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20: 59:1-59:36 (2019) - [c88]George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury, Michael Picheny, Samuel Thomas:
Simplified LSTMS for Speech Recognition. ASRU 2019: 547-553 - [c87]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP 2019: 5706-5710 - [c86]George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury:
Sequence Noise Injected Training for End-to-end Speech Recognition. ICASSP 2019: 6261-6265 - [c85]Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko:
English Broadcast News Speech Recognition by Humans and Machines. ICASSP 2019: 6455-6459 - [c84]Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf:
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML 2019: 1193-1202 - [c83]Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Deep Neural Networks. ICML 2019: 2299-2308 - [c82]Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. INTERSPEECH 2019: 326-330 - [c81]Kartik Audhkhasi, George Saon, Zoltán Tüske, Brian Kingsbury, Michael Picheny:
Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition. INTERSPEECH 2019: 2618-2622 - [c80]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH 2019: 2628-2632 - [i15]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR abs/1904.04956 (2019) - [i14]Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko:
English Broadcast News Speech Recognition by Humans and Machines. CoRR abs/1904.13258 (2019) - [i13]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR abs/1907.05701 (2019) - [i12]Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. CoRR abs/1908.03455 (2019) - 2018
- [c79]Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny:
Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition. ICASSP 2018: 4759-4763 - [i11]Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf:
Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR abs/1806.09077 (2018) - [i10]Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Neural Networks. CoRR abs/1810.05728 (2018) - [i9]Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney:
Understanding Unequal Gender Classification Accuracy from Face Images. CoRR abs/1812.00099 (2018) - 2017
- [j14]Bhuvana Ramabhadran, Nancy F. Chen
, Mary P. Harper, Brian Kingsbury, Kate M. Knill:
Introduction to the Special Issue on End-to-End Speech and Language Processing. IEEE J. Sel. Top. Signal Process. 11(8): 1237-1239 (2017) - [j13]Kartik Audhkhasi
, Andrew Rosenberg
, Abhinav Sethy, Bhuvana Ramabhadran
, Brian Kingsbury
:
End-to-End ASR-Free Keyword Search From Speech. IEEE J. Sel. Top. Signal Process. 11(8): 1351-1359 (2017) - [j12]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. IEEE Trans. Parallel Distributed Syst. 28(6): 1703-1714 (2017) - [c78]Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg:
Knowledge distillation across ensembles of multilingual models for low-resource languages. ICASSP 2017: 4825-4829 - [c77]Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury:
End-to-end ASR-free keyword search from speech. ICASSP 2017: 4840-4844 - [c76]Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy:
Network architectures for multilingual speech representation learning. ICASSP 2017: 5295-5299 - [c75]Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou:
Accelerating deep neural network learning for speech recognition on a cluster of GPUs. MLHPC@SC 2017: 3:1-3:8 - [i8]Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha:
Kernel Approximation Methods for Speech Recognition. CoRR abs/1701.03577 (2017) - [i7]Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury:
End-to-End ASR-free Keyword Search from Speech. CoRR abs/1701.04313 (2017) - [i6]Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny:
Building competitive direct acoustics-to-word models for English conversational speech recognition. CoRR abs/1712.03133 (2017) - 2016
- [c74]Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury:
Compact kernel models for acoustic modeling via random feature selection. ICASSP 2016: 2424-2428 - [c73]Jie Chen, Lingfei Wu, Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran:
Efficient one-vs-one kernel ridge regression for speech recognition. ICASSP 2016: 2454-2458 - [c72]Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun:
Very deep multilingual convolutional neural networks for LVCSR. ICASSP 2016: 4955-4959 - [c71]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP 2016: 5070-5074 - [c70]Gakuto Kurata, Brian Kingsbury:
Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling. INTERSPEECH 2016: 27-31 - [c69]Samuel Thomas, Kartik Audhkhasi, Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran:
Multilingual Data Selection for Low Resource Speech Recognition. INTERSPEECH 2016: 3853-3857 - [i5]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR abs/1603.05800 (2016) - 2015
- [j11]Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George E. Dahl, Bhuvana Ramabhadran:
Deep Convolutional Neural Networks for Large-scale Speech Tasks. Neural Networks 64: 39-48 (2015) - [j10]Xiaodong Cui, Vaibhava Goel
, Brian Kingsbury:
Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23(9): 1469-1477 (2015) - [c68]Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Kislal, Lidia Mangu, Markus Nußbaum-Thom, Michael Picheny, Zoltán Tüske, Pavel Golik, Ralf Schlüter
, Hermann Ney, Mark J. F. Gales, Kate M. Knill, Anton Ragni, Haipeng Wang, Philip C. Woodland:
Multilingual representations for low resource speech recognition and keyword search. ASRU 2015: 259-266 - [c67]Xiaodong Cui, Vaibhava Goel
, Brian Kingsbury:
Data augmentation for deep convolutional neural network acoustic modeling. ICASSP 2015: 4545-4549 - [c66]Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury:
Order-free spoken term detection. ICASSP 2015: 5331-5335 - [c65]Jia Cui, George Saon, Bhuvana Ramabhadran, Brian Kingsbury:
A multi-region deep neural network model in speech recognition. INTERSPEECH 2015: 3244-3248 - [i4]Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun:
Very Deep Multilingual Convolutional Neural Networks for LVCSR. CoRR abs/1509.08967 (2015) - 2014
- [c64]Xiaodong Cui, Vaibhava Goel
, Brian Kingsbury:
Data Augmentation for deep neural network acoustic modeling. ICASSP 2014: 5582-5586 - [c63]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George Saon, Bhuvana Ramabhadran:
Improvements to filterbank and delta learning within a deep neural network framework. ICASSP 2014: 6839-6843 - [c62]Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran:
Automatic keyword selection for keyword search development and tuning. ICASSP 2014: 7839-7843 - [c61]Lidia Mangu, Brian Kingsbury, Hagen Soltau, Hong-Kwang Kuo, Michael Picheny:
Efficient spoken term detection using confusion networks. ICASSP 2014: 7844-7848 - [c60]Jia Cui, Bhuvana Ramabhadran, Xiaodong Cui, Andrew Rosenberg, Brian Kingsbury, Abhinav Sethy:
Recent improvements in neural network acoustic modeling for LVCSR in low resource languages. INTERSPEECH 2014: 840-844 - [c59]Tara N. Sainath, Vijayaditya Peddinti, Brian Kingsbury, Petr Fousek, Bhuvana Ramabhadran, David Nahamoo:
Deep scattering spectra with deep neural networks for LVCSR tasks. INTERSPEECH 2014: 900-904 - [c58]Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari:
Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH 2014: 1048-1052 - [c57]Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel:
Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. INTERSPEECH 2014: 2103-2107 - [c56]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. SC 2014: 745-753 - [p1]Hagen Soltau, George Saon, Lidia Mangu, Hong-Kwang Kuo, Brian Kingsbury, Stephen M. Chu, Fadi Biadsy:
Automatic Speech Recognition. NLP of Semitic Languages 2014: 409-459 - [i3]Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR abs/1411.4000 (2014) - 2013
- [j9]Tara N. Sainath, Brian Kingsbury, Hagen Soltau, Bhuvana Ramabhadran:
Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks. IEEE Trans. Speech Audio Process. 21(11): 2267-2276 (2013) - [c55]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, Bhuvana Ramabhadran:
Learning filter banks within a deep neural network framework. ASRU 2013: 297-302 - [c54]Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU 2013: 303-308 - [c53]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to Deep Convolutional Neural Networks for LVCSR. ASRU 2013: 315-320 - [c52]Murat Saraclar
, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou:
An empirical study of confusion modeling in keyword search for low resource languages. ASRU 2013: 464-469 - [c51]Tara N. Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, Bhuvana Ramabhadran:
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. ICASSP 2013: 6655-6659 - [c50]Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy:
Developing speech recognition systems for corpus indexing under the IARPA Babel program. ICASSP 2013: 6753-6757 - [c49]Jing Huang, Brian Kingsbury:
Audio-visual deep learning for noise robust speech recognition. ICASSP 2013: 7596-7599 - [c48]Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Brian Kingsbury, Kate M. Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter
, Abhinav Sethy, Philip C. Woodland:
System combination and score normalization for spoken term detection. ICASSP 2013: 8272-8276 - [c47]Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate M. Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter
, Abhinav Sethy, Philip C. Woodland:
A high-performance Cantonese keyword search system. ICASSP 2013: 8277-8281 - [c46]Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, Brian Kingsbury, George Saon:
Exploiting diversity for spoken term detection. ICASSP 2013: 8282-8286 - [c45]Li Deng, Geoffrey E. Hinton, Brian Kingsbury:
New types of deep neural network learning for speech recognition and related applications: an overview. ICASSP 2013: 8599-8603 - [c44]Tara N. Sainath, Abdel-rahman Mohamed, Brian Kingsbury, Bhuvana Ramabhadran:
Deep convolutional neural networks for LVCSR. ICASSP 2013: 8614-8618 - [c43]Xiaodong Cui, Vaibhava Goel, Brian Kingsbury:
Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. INTERSPEECH 2013: 3012-3016 - [c42]George Saon, Samuel Thomas, Hagen Soltau, Sriram Ganapathy, Brian Kingsbury:
The IBM speech activity detection system for the DARPA RATS program. INTERSPEECH 2013: 3497-3501 - [i2]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to deep convolutional neural networks for LVCSR. CoRR abs/1309.1501 (2013) - [i1]Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR abs/1309.1508 (2013) - 2012
- [c41]Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran:
Auto-encoder bottleneck features using deep belief networks. ICASSP 2012: 4153-4156 - [c40]Brian Kingsbury, Tara N. Sainath, Hagen Soltau:
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization. INTERSPEECH 2012: 10-13 - [c39]George Saon, Brian Kingsbury:
Discriminative feature-space transforms using deep neural networks. INTERSPEECH 2012: 14-17 - [c38]Ebru Arisoy, Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran:
Deep Neural Network Language Models. WLM@NAACL-HLT 2012: 20-28 - 2011
- [j8]Michael Picheny, David Nahamoo, Vaibhava Goel
, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon:
Trends and advances in speech recognition. IBM J. Res. Dev. 55(5): 2 (2011) - [j7]James Fan, Michael Campbell, Brian Kingsbury:
Artificial intelligence research at IBM. IBM J. Res. Dev. 55(5): 16 (2011) - [c37]Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, Petr Fousek, Petr Novák, Abdel-rahman Mohamed:
Making Deep Belief Networks effective for large vocabulary continuous speech recognition. ASRU 2011: 30-35 - [c36]Lidia Mangu, Hong-Kwang Kuo, Stephen M. Chu, Brian Kingsbury, George Saon, Hagen Soltau, Fadi Biadsy:
The IBM 2011 GALE Arabic speech transcription system. ASRU 2011: 272-277 - [c35]Brian Kingsbury, Hagen Soltau, George Saon, Stephen M. Chu, Hong-Kwang Kuo, Lidia Mangu, Suman V. Ravuri, Nelson Morgan, Adam Janin:
The IBM 2009 GALE Arabic speech transcription system. ICASSP 2011: 4672-4675 - [c34]Chih-Chieh Cheng, Brian Kingsbury:
Arccosine kernels: Acoustic modeling with infinite neural networks. ICASSP 2011: 5200-5203 - 2010
- [c33]George Saon, Hagen Soltau, Upendra V. Chaudhari, Stephen M. Chu, Brian Kingsbury, Hong-Kwang Kuo, Lidia Mangu, Daniel Povey:
The IBM 2008 GALE Arabic speech transcription system. ICASSP 2010: 4378-4381 - [c32]Hagen Soltau, George Saon, Brian Kingsbury:
The IBM Attila speech recognition toolkit. SLT 2010: 97-102 - [c31]Ea-Ee Jan, Brian Kingsbury:
Rapid and inexpensive development of speech action classifiers for natural language call routing systems. SLT 2010: 348-353
2000 – 2009
- 2009
- [j6]Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Ahmad Emami:
Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program. IEEE Trans. Speech Audio Process. 17(5): 884-894 (2009) - [c30]Brian Kingsbury:
Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling. ICASSP 2009: 3761-3764 - [c29]Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari:
Fast decoding for open vocabulary spoken term detection. HLT-NAACL (Short Papers) 2009: 277-280 - [c28]Ruhi Sarikaya, Mohamed Afify, Brian Kingsbury:
Tied-Mixture Language Modeling in Continuous Space. HLT-NAACL 2009: 459-467 - 2008
- [c27]Daniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Karthik Visweswariah:
Boosted MMI for model and feature-space discriminative training. ICASSP 2008: 4057-4060 - [c26]Daniel Povey, Brian Kingsbury:
Monte Carlo model-space noise adaptation for speech recognition. INTERSPEECH 2008: 1281-1284 - [c25]Upendra V. Chaudhari, Hong-Kwang Jeff Kuo, Brian Kingsbury:
Discriminative graph training for ultra-fast low-footprint speech indexing. INTERSPEECH 2008: 2175-2178 - [c24]Ruhi Sarikaya, Yonggang Deng, Mohamed Afify, Brian Kingsbury, Yuqing Gao:
Machine translation in continuous space. INTERSPEECH 2008: 2350-2353 - 2007
- [c23]Hong-Kwang Jeff Kuo, Brian Kingsbury, Geoffrey Zweig:
Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition. ICASSP (4) 2007: 45-48 - [c22]Daniel Povey, Brian Kingsbury:
Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training. ICASSP (4) 2007: 321-324 - [c21]Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Geoffrey Zweig:
The IBM 2006 Gale Arabic ASR System. ICASSP (4) 2007: 349-352 - 2006
- [j5]Ran D. Zilca, Brian Kingsbury, Jirí Navrátil, Ganesh N. Ramaswamy:
Pseudo pitch synchronous analysis of speech with applications to speaker recognition. IEEE Trans. Speech Audio Process. 14(2): 467-478 (2006) - [j4]Stanley F. Chen, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Hagen Soltau, Geoffrey Zweig:
Advances in speech transcription at IBM under the DARPA EARS program. IEEE Trans. Speech Audio Process. 14(5): 1596-1608 (2006) - [c20]Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury:
Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy. ICASSP (1) 2006: 589-592 - [c19]Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury:
Automated Quality Monitoring for Call Centers using Speech and NLP Technologies. HLT-NAACL 2006 - 2005
- [c18]Olivier Siohan, Bhuvana Ramabhadran, Brian Kingsbury:
Contructing Ensembles of ASR Systems Using Randomized Decision Trees. ICASSP (1) 2005: 197-200 - [c17]Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Geoffrey Zweig:
The IBM 2004 Conversational Telephony System for Rich Transcription. ICASSP (1) 2005: 205-208 - [c16]Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Soltau, Geoffrey Zweig:
fMPE: Discriminatively Trained Features for Speech Recognition. ICASSP (1) 2005: 961-964 - 2004
- [c15]Mohamed K. Omar, Brian Kingsbury:
An evaluation of a nonlinear feature transformation for conversational speech recognition. ICASSP (1) 2004: 785-788 - 2003
- [c14]Scott Axelrod, Vaibhava Goel, Brian Kingsbury, Karthik Visweswariah, Ramesh A. Gopinath:
Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. INTERSPEECH 2003: 1613-1616 - [c13]Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny:
Toward domain-independent conversational speech recognition. INTERSPEECH 2003: 1881-1884 - [c12]George Saon, Geoffrey Zweig, Brian Kingsbury, Lidia Mangu, Upendra V. Chaudhari:
An architecture for rapid decoding of large vocabulary conversational speech. INTERSPEECH 2003: 1977-1980 - 2002
- [j3]Mukund Padmanabhan, George Saon, Jing Huang, Brian Kingsbury, Lidia Mangu:
Automatic speech recognition performance on a voicemail transcription task. IEEE Trans. Speech Audio Process. 10(7): 433-442 (2002) - [c11]Brian Kingsbury, George Saon, Lidia Mangu, Mukund Padmanabhan, Ruhi Sarikaya:
Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system. ICASSP 2002: 53-56 - [c10]Pratibha Jain, Hynek Hermansky, Brian Kingsbury:
Distributed speech recognition using noise-robust MFCC and traps-estimated manner features. INTERSPEECH 2002: 473-476 - [c9]Brian Kingsbury, Pratibha Jain, André Gustavo Adami:
A hybrid HMM/traps model for robust voice activity detection. INTERSPEECH 2002: 1073-1076 - [c8]Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah:
Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. INTERSPEECH 2002: 2597-2600 - 2000
- [c7]Jing Huang, Brian Kingsbury, Lidia Mangu, Mukund Padmanabhan, George Saon, Geoffrey Zweig:
Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard). INTERSPEECH 2000: 338-341
1990 – 1999
- 1998
- [j2]Brian Kingsbury, Nelson Morgan, Steven Greenberg:
Robust speech recognition using the modulation spectrogram. Speech Commun. 25(1-3): 117-132 (1998) - [c6]Su-Lin Wu, Brian Kingsbury, Nelson Morgan, Steven Greenberg:
Incorporating information from syllable-length time scales into automatic speech recognition. ICASSP 1998: 721-724 - [c5]Su-Lin Wu, Brian Kingsbury, Nelson Morgan, Steven Greenberg:
Performance improvements through combining phone- and syllable-scale information in automatic speech recognition. ICSLP 1998 - 1997
- [c4]Brian Kingsbury, Nelson Morgan:
Recognizing reverberant speech with RASTA-PLP. ICASSP 1997: 1259-1262 - [c3]Steven Greenberg, Brian Kingsbury:
The modulation spectrogram: in pursuit of an invariant representation of speech. ICASSP 1997: 1647-1650 - 1996
- [j1]John Wawrzynek, Krste Asanovic, Brian Kingsbury, David Johnson, James Beck, Nelson Morgan:
Spert-II: A Vector Microprocessor System. Computer 29(3): 79-86 (1996) - 1995
- [c2]John Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan:
SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training. NIPS 1995: 619-625 - 1992
- [c1]Krste Asanovic, James Beck, Brian Kingsbury, Phil Kohn, Nelson Morgan, John Wawrzynek:
SPERT: a VLIW/SIMD microprocessor for artificial neural network computations. ASAP 1992: 178-190
Coauthor Index
aka: Rogério Schmidt Feris
aka: David Harwath
aka: Hong-Kwang Kuo
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